| SVR与BP神经网络对小流域次降雨侵蚀产沙预测结果的比较 |
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| 引用本文： | 胡亚萍,董贝贝,姜宏立,顾西辉,洪拍敏.SVR与BP神经网络对小流域次降雨侵蚀产沙预测结果的比较[J].内蒙古环境科学,2013,29(1):114-117. |
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| 作者姓名： | 胡亚萍 董贝贝 姜宏立 顾西辉 洪拍敏 |
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| 作者单位： | 郑州大学水利与环境学院,郑州,450001 |
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| 摘 要： | 运用支持向量回归机(Support Vector Regression Machine)与BP神经网络对小流域次降雨侵蚀产沙进行预测.侵蚀产沙输入变量选取降雨量、降雨强度、径流深和洪峰流量模数,流域次降雨侵蚀输沙量为输出变量.以SVR、BP神经网络的预测值与实际值的绝对误差和相对误差作为评价指标.实验表明,SVR的预测精度和稳定性优于BP神经网络.
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| 关 键 词： | 支持向量机 回归 SVR BP神经网络 小流域侵蚀产沙预测 |
Comparison of the results of the small watershed rainfall erosion and sediment yield predicted by SVR and BP nerve network |
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| Hu Yaping
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Dong Beibei
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Jiang Hongli
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Gu Xihui
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Hong Paimin.Comparison of the results of the small watershed rainfall erosion and sediment yield predicted by SVR and BP nerve network[J].Inner Mongolia Environmental Protection,2013,29(1):114-117. |
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| Authors: | Hu Yaping Dong Beibei Jiang Hongli Gu Xihui Hong Paimin |
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| Institution: | (Water Resources and Environment College,Zhengzhou University,Zhengzhou 450001) |
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